iPhone 14 Pro Max
Geekbench AI Score
3499
Single Precision Score
6075
Half Precision Score
4914
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 02:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 14 Pro Max |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1443
268.3 IPS |
|
|
Image Classification (HP)
|
100% |
2558
475.8 IPS |
|
|
Image Classification (Q)
|
96% |
1763
329.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2164
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2679
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6682
7.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
14758
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12698
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
97% |
2915
232.1 IPS |
|
|
Object Detection (Q)
|
94% |
2049
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
3061
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6010
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3483
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6026
46.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12113
93.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8192
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18466
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28099
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23671
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4141
152.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5171
190.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3678
135.8 IPS |
|
|
Text Classification (SP)
|
100% |
2612
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4599
6.14 KIPS |
|
|
Text Classification (Q)
|
93% |
4572
6.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3442
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5913
102.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5887
101.7 IPS |
